Chunquan Li

Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Chunquan Li is a researcher whose work sits at the intersection of human-robot collaboration (HRC) and intelligent manufacturing optimization. His research focuses on one of the most pressing challenges in modern industrial settings: how to effectively integrate human workers and robots in collaborative assembly environments while safeguarding worker wellbeing and maximizing operational efficiency. Li's most recognized contributions center on task scheduling models that account for human fatigue — a physiological factor often overlooked in traditional automation research. His 2021 paper, which has accumulated 45 citations, introduced an innovative scheduling framework that incorporates micro-breaks into job-cycle planning, directly addressing the link between continuous work, fatigue accumulation, and declining performance. Building on this foundation, his 2022 follow-up work, cited 36 times, extended these principles by simultaneously minimizing both cycle time and human fatigue, offering a multi-objective optimization approach that balances productivity with worker health. What distinguishes Li's research is its human-centric perspective within an otherwise technology-driven field. By quantifying and modeling fatigue as a core scheduling variable, he has contributed meaningful advancements to ergonomic manufacturing design. His work is increasingly relevant as industries worldwide accelerate adoption of collaborative robotics, making his insights valuable to engineers, operations researchers, and occupational health professionals alike.